Showing results 10 to 16 of 16
Sampling-based approach for design optimization in the presence of interval variables Yoo, David; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.49, no.2, pp.253 - 266, 2014-02 |
Sampling-based RBDO using the stochastic sensitivity analysis and Dynamic Kriging method Lee, Ikjin; Choi, K. K.; Zhao, Liang, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.44, no.3, pp.299 - 317, 2011-09 |
Sequential surrogate modeling for efficient finite element model updating Jin, Seung-Seop; Jung, Hyung-Jo, COMPUTERS & STRUCTURES, v.168, pp.30 - 45, 2016-05 |
Small failure probability: principles, progress and perspectives Lee, Ikjin; Lee, Ungki; Ramu, Palaniappan; Yadav, Deepanshu; Bayrak, Gamze; Acar, Erdem, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.11, 2022-11 |
Surrogate model for optimizing annealing duration of self-assembled membrane-cavity structures Jeong, Mun Goung; Kim, Taeyeong; Lee, Bong Jae; Lee, Jungchul, MICRO AND NANO SYSTEMS LETTERS, v.10, no.1, 2022-06 |
Variable selection using Gaussian process regression-based metrics for high-dimensional model approximation with limited data Lee, Kyungeun; Cho, Hyunkyoo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.59, no.5, pp.1439 - 1454, 2019-05 |
대리모델을 이용한 현가장치의 부싱 강성 곡선 최적화에 관한 연구 = A Study on the Optimization of Bushing Stiffness in Suspension System using Surrogate Modellink 김수호; 윤성기; et al, 한국과학기술원, 2017 |
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